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Minimization of Failed Roads - A Hybrid Resource-Constrained Project Scheduling Problem

Adamu, Patience I. and Agarana, M. C. and Okagbue, H. I. (2018) Minimization of Failed Roads - A Hybrid Resource-Constrained Project Scheduling Problem. In: International MultiConference of Engineers and Computer Scientists 2018 Vol I, March 14-16, 2018, Hong Kong.

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Causes of failed roads and the reasons why most roads stay consistently failed in some nations of the world, like Nigeria, may be attributed to many factors, salient among them may be corruption and recession ultimately. Corruption in the award of road construction contracts make roads not to be properly done, to meet set standards thereby failing almost immediately they are completed. So, if corruption is minimized in awarding road construction contracts, the number of failed roads maybe minimized. This paper introduces some solution methods to minimize corruption in road construction projects so that good and sustainable roads are constructed even if there is also recession. In our experiment, we formulated the construction of real life 5km asphalt road as a hybrid resource constrained project scheduling problem (HRCPSP). Using priority based project scheduling technique, our results show the number of skilled workers needed in each period which gives the idea of the amount of fund needed in each of the periods. We constructed two Gantt diagrams: when resources are unconstrained and when resources are constrained to the minimal demand of jobs in the eligible set in each period. The unconstrained Gantt diagram helps to know the maximum amount of fund that should be released to the engineers in each period. This helps to curb corruption. The constrained Gantt diagram helps to know the minimum amount that should be released to the engineers for work to go on and the project to get to completion stage even there is recession. This helps project to be completed even if there is recession.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Construction Projects, Network Analysis, Project Scheduling, Corruption, Recession
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Engineering, Science and Mathematics > School of Mathematics
Depositing User: Mrs Patricia Nwokealisi
Date Deposited: 07 May 2018 15:36
Last Modified: 07 May 2018 15:36

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